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undergraduate thesis
Automatsko indeksiranje tekstualnih dokumenata
2010. urn:nbn:hr:211:693149
Mejaš, Kristina
University of Zagreb
Faculty of Organization and Informatics

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Mejaš, K. (2010). Automatsko indeksiranje tekstualnih dokumenata (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:693149

Mejaš, Kristina. "Automatsko indeksiranje tekstualnih dokumenata." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2010. https://urn.nsk.hr/urn:nbn:hr:211:693149

Mejaš, Kristina. "Automatsko indeksiranje tekstualnih dokumenata." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2010. https://urn.nsk.hr/urn:nbn:hr:211:693149

Mejaš, K. (2010). 'Automatsko indeksiranje tekstualnih dokumenata', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 15 March 2025, https://urn.nsk.hr/urn:nbn:hr:211:693149

Mejaš K. Automatsko indeksiranje tekstualnih dokumenata [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2010 [cited 2025 March 15] Available at: https://urn.nsk.hr/urn:nbn:hr:211:693149

K. Mejaš, "Automatsko indeksiranje tekstualnih dokumenata", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2010. Available at: https://urn.nsk.hr/urn:nbn:hr:211:693149

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Metadata
TitleAutomatsko indeksiranje tekstualnih dokumenata
Title (english)Automatic indexing of textual documents
AuthorKristina Mejaš
MentorJasminka Dobša (mentor)
MBZ: 218640
Committee memberDanijel Radošević
MBZ: 210804
GranterUniversity of Zagreb
Faculty of Organization and Informatics
Varaždin
Defense date and country2010-02-24, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U radu se govori ponajprije o pristupu i vrstama indeksiranja tekstualnih dokumenata te morfološkim specifičnostima hrvatskog jezika. Pokazuje se do kakvih odstupanja dolazi kod indeksiranja i sažimanja dokumenata, kako bi se ukazalo na prednosti pojedinih vrsta indeksiranja te načine na koje se rezultati rada takvih metoda mogu poboljšati. U radu se spominju dvije glavne metode indeksiranja: ekstrakcija ključnih riječi i dodjeljivanje ključnih riječi, njihove prednosti i nedostaci kao i... More također metode kojima se izračunava njihova uspješnost. Less
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:693149
Study programmeTitle: Business Systems
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2017-01-26 11:12:58
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